Bilingual Content Analyst: Spanish – Hybrid, Financial Data

LSEG; Taguig; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

LSEG in Manila seeks a Content Analyst - Spanish to source, curate and validate financial data from disclosures and feeds, using English and Spanish to ensure accuracy. This role operates in a blended model with 3 days in office and 2 days remote, collaborating with global teams.

The position requires quick learning, solid accounting knowledge, MS Excel proficiency, and the ability to meet data integrity KPIs while supporting ongoing data projects.

Qualifications

• Full professional proficiency in English and Spanish.
• Daily tasks will be conducted in these languages.
• Have understanding about basic accounting concepts.
• Sound knowledge of financial management concepts.
• Should have awareness about the financial statements.
• Proficient in using MS-Excel and good keyboard skills.
• Should be a very quick learner and display high agility.

Responsibilities

• Leverages market/language skills to deliver on customer requirements.
• Resolves client data issues and fixes data integrity.
• Processes data accurately using tools and financial market knowledge.
• Identifies data sources and adds value per collection policy.
• Communicates with internal/external teams to support data collection.
• Adheres to quality metrics and KPIs; prioritises work.
• Supports specific projects and contributes to process improvements.

Skills

English language

Spanish language

Accounting basics

Financial literacy

MS Excel

Quick learner

Education

Bachelor’s or Master’s Degree

Job description

LSEG in Manila seeks a Content Analyst - Spanish to source, curate and validate financial data from disclosures and feeds, using English and Spanish to ensure accuracy. This role operates in a blended model with 3 days in office and 2 days remote, collaborating with global teams.

The position requires quick learning, solid accounting knowledge, MS Excel proficiency, and the ability to meet data integrity KPIs while supporting ongoing data projects.